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“Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework
BACKGROUND: In March 2015, Apple Inc announced ResearchKit, a novel open-source framework intended to help medical researchers to easily create apps for medical studies. With the announcement of this framework, Apple presented 5 apps built in a beta phase based on this framework. OBJECTIVE: The obje...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5350459/ https://www.ncbi.nlm.nih.gov/pubmed/28246069 http://dx.doi.org/10.2196/mhealth.6259 |
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author | Zens, Martin Woias, Peter Suedkamp, Norbert P Niemeyer, Philipp |
author_facet | Zens, Martin Woias, Peter Suedkamp, Norbert P Niemeyer, Philipp |
author_sort | Zens, Martin |
collection | PubMed |
description | BACKGROUND: In March 2015, Apple Inc announced ResearchKit, a novel open-source framework intended to help medical researchers to easily create apps for medical studies. With the announcement of this framework, Apple presented 5 apps built in a beta phase based on this framework. OBJECTIVE: The objective of this study was to better understand decision making in patients with acute anterior cruciate ligament (ACL) ruptures. Here, we describe the development of a ResearchKit app for this study. METHODS: A multilanguage observatory study was conducted. At first a suitable research topic, target groups, participating territories, and programming method were carefully identified. The ResearchKit framework was used to program the app. A secure server connection was realized via Secure Sockets Layer. A data storage and security concept separating personal information and study data was proposed. Furthermore, an efficient method to allow multilanguage support and distribute the app in many territories was presented. Ethical implications were considered and taken into account regarding privacy policies. RESULTS: An app study based on ResearchKit was developed without comprehensive iPhone Operating System (iOS) development experience. The Apple App Store is a major distribution channel causing significant download rates (>1.200/y) without active recruitment. Preliminary data analysis showed moderate dropout rates and a good quality of data. A total of 180 participants were currently enrolled with 107 actively participating and producing 424 completed surveys in 9 out of 24 months. CONCLUSIONS: ResearchKit is an easy-to-use framework and powerful tool to create medical studies. Advantages are the modular built, the extensive reach of iOS devices, and the convenient programming environment. |
format | Online Article Text |
id | pubmed-5350459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-53504592017-03-28 “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework Zens, Martin Woias, Peter Suedkamp, Norbert P Niemeyer, Philipp JMIR Mhealth Uhealth Original Paper BACKGROUND: In March 2015, Apple Inc announced ResearchKit, a novel open-source framework intended to help medical researchers to easily create apps for medical studies. With the announcement of this framework, Apple presented 5 apps built in a beta phase based on this framework. OBJECTIVE: The objective of this study was to better understand decision making in patients with acute anterior cruciate ligament (ACL) ruptures. Here, we describe the development of a ResearchKit app for this study. METHODS: A multilanguage observatory study was conducted. At first a suitable research topic, target groups, participating territories, and programming method were carefully identified. The ResearchKit framework was used to program the app. A secure server connection was realized via Secure Sockets Layer. A data storage and security concept separating personal information and study data was proposed. Furthermore, an efficient method to allow multilanguage support and distribute the app in many territories was presented. Ethical implications were considered and taken into account regarding privacy policies. RESULTS: An app study based on ResearchKit was developed without comprehensive iPhone Operating System (iOS) development experience. The Apple App Store is a major distribution channel causing significant download rates (>1.200/y) without active recruitment. Preliminary data analysis showed moderate dropout rates and a good quality of data. A total of 180 participants were currently enrolled with 107 actively participating and producing 424 completed surveys in 9 out of 24 months. CONCLUSIONS: ResearchKit is an easy-to-use framework and powerful tool to create medical studies. Advantages are the modular built, the extensive reach of iOS devices, and the convenient programming environment. JMIR Publications 2017-02-28 /pmc/articles/PMC5350459/ /pubmed/28246069 http://dx.doi.org/10.2196/mhealth.6259 Text en ©Martin Zens, Peter Woias, Norbert P Suedkamp, Philipp Niemeyer. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 28.02.2017. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Zens, Martin Woias, Peter Suedkamp, Norbert P Niemeyer, Philipp “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework |
title | “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework |
title_full | “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework |
title_fullStr | “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework |
title_full_unstemmed | “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework |
title_short | “Back on Track”: A Mobile App Observational Study Using Apple’s ResearchKit Framework |
title_sort | “back on track”: a mobile app observational study using apple’s researchkit framework |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5350459/ https://www.ncbi.nlm.nih.gov/pubmed/28246069 http://dx.doi.org/10.2196/mhealth.6259 |
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